The common responsibilities for this position include designing and maintaining scalable data architectures, building and automating data pipelines and ETL processes, developing data models and schemas for integration and analysis, optimizing data workflows and performance, and ensuring data quality through profiling and validation. The role involves collaborating with cross-functional teams to understand data requirements, implementing data management solutions, and integrating new data sources. Additionally, responsibilities include analyzing enterprise data, developing and deploying machine learning models, conducting exploratory data analysis, and providing insights through data visualization. The Data Engineer will also support the full software development lifecycle and drive advancements in data technologies while documenting technical specifications and maintaining data governance practices.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
Job classifications that have advertised a position
Academic degree required as indicated by all job postings
Job subclassifications that have advertised a position